Director of Enterprise AI Enablement
Role details
Job location
Tech stack
Job description
Reposted 13 Hours Ago Remote Hiring Remotely in US Expert/Leader Remote Hiring Remotely in US Expert/Leader The Director of Enterprise AI Enablement will lead AI transformation initiatives, manage an AI Enablement team, oversee AI product selection, and ensure best practices in AI governance, fostering a culture of innovation and change management across the organization. The summary above was generated by AI, * Own and drive Intradiem's internal AI transformation roadmap, translating company strategy into a prioritized, phased execution plan
- Define and manage the AI use case pipeline across intake, evaluation, prioritization, and sequencing across all business functions
- Serve as the organizational owner of Intradiem's AI operating model, driving the shift from ad hoc adoption to structured, scalable capability
- Establish enterprise AI architecture through strategic framework selection and standardized, reusable development patterns that support consistent delivery across the business
Team & Program Leadership
- Lead and grow a dedicated AI Enablement team responsible for use case delivery, workflow automation, and business enablement
- Balance strategic direction with hands-on involvement, willing to lean in directly on tooling, architecture decisions, and use case execution where needed
- Own the management, administration, and optimization of internal AI tools and platforms, ensuring they are well-governed, widely adopted, and delivering measurable value
- Report directly to the VP of Technology and serve as the primary internal voice and decision-maker for AI transformation
Investment & Vendor Decisions
- Evaluate, select, and manage AI products, platforms, and services in partnership with the VP of Technology, with authority to move at speed and scale
- Support AI transformation budget allocation in coordination with leadership, ensuring spend is tied to measurable business outcomes
Cross-Functional Coordination & Governance
- Build, manage, and chair the AI Center of Excellence, Intradiem's cross-functional steering body for AI prioritization, adoption, and accountability
- Establish and maintain AI governance frameworks covering responsible use policies, intake processes, and decisioning in partnership with Legal, Security, Compliance, and the People Team
- Serve as the designated internal spokesperson for the AI program, collaborating across teams and with strategic partners to communicate progress and maintain alignment
Enablement & Change Management
- Lead change management efforts to move the business through the AI transformation, building fluency, confidence, and sustainable adoption at all levels
- Design and deliver role-based, in partnership with Learning Services, AI enablement programs, workshops, and learning initiatives tailored to technical and non-technical teams
- Partner with functional leaders to identify, develop, and deploy AI solutions that reduce manual work, accelerate decisions, and create competitive leverage
- Foster a culture of experimentation, innovation, and AI fluency across the organization
Measurement & Accountability
- Develop and own key AI KPIs tracking adoption, active use cases, time-to-value, and business impact (including ROI and cost/efficiency savings)
- Drive quarterly goal accountability for the AI program, reporting progress to leadership and the steering committee
- Stay current on emerging AI technologies, regulatory developments, and industry trends to continuously sharpen strategy and decision-making, Senior digital product manager for retail lending who defines digital strategy, designs and prioritizes digital experiences, builds business cases, manages development and launches, partners with stakeholders (Technology, Marketing, MIS, LOB), coaches product teams, and supports risk, compliance, and audit needs. Top Skills: Agile Web DevelopmentBusiness Requirements DocumentationData VisualizationIt ArchitectureJavaScriptWireframing PNC Bank
Software Engineering Manager
52 Minutes Ago Remote or Hybrid USA 100K-223K Annually Senior level 100K-223K Annually Senior level Machine Learning * Payments * Security * Software * Financial Services Lead and develop a team of automation engineers, own test automation backlog and frameworks, drive UI/API/performance testing, integrate AI-driven testing practices, collaborate cross-functionally, hire and mentor staff, and contribute hands-on to automation and CI/CD improvements. Top Skills: Agentic AiApache JmeterAWSAzureBitbucketCi/CdContainerizationCypressGCPGenerative AiGithub ActionsJavaScriptJenkinsMonitoringObservabilityPlaywrightPostmanPrompt EngineeringPythonRest ApisSeleniumTypescript Federal Reserve Bank of Boston, Senior security engineer responsible for developing automation and tooling, building and deploying security solutions, conducting incident response and proactive threat hunting, supporting investigations through data analysis, and advising development teams. Must document solutions, participate in agile teams, mentor juniors, and continuously research evolving security threats. Top Skills: AWSAws CodedeployAzureBashCircleCICloud IamContainer OrchestrationGithub ActionsGitlab PipelinesGoJavaLog ManagementPythonTravisci
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
Requirements
- 10+ years of experience in SaaS, enterprise software, technology enablement, or transformation roles.
- 3 to 5+ years leading AI adoption initiatives, automation programs, or enterprise change management efforts
- Hands-on experience with AI and GenAI platforms such as OpenAI, Anthropic, Microsoft Copilot, etc…, and a working understanding of LLMs, APIs, and AI-native tooling
- Proven ability to lead organizational change and drive adoption across distributed, cross-functional teams
- Strong communication and executive presentation skills, with the ability to make complex technical concepts clear and actionable
- Experience building and managing high-performing teams in fast-paced environments
- Familiarity with AI governance, ethical AI frameworks, data privacy standards, and evolving AI regulations
Work Authorization:
Candidates must have the legal right to work in the country where the role is based at the time of application. Verification of identity and employment eligibility will be required during onboarding.